{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--BOOK_INFORMATION-->\n",
    "<img align=\"left\" style=\"padding-right:10px;\" src=\"figures/PHydro-cover-small.png\">\n",
    "*This is the Jupyter notebook version of the [Python in Hydrology](http://www.greenteapress.com/pythonhydro/pythonhydro.html) by Sat Kumar Tomer.*\n",
    "*Source code is available at [code.google.com](https://code.google.com/archive/p/python-in-hydrology/source).*\n",
    "\n",
    "*The book is available under the [GNU Free Documentation License](http://www.gnu.org/copyleft/fdl.html). If you have comments, corrections or suggestions, please send email to satkumartomer@gmail.com.*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<!--NAVIGATION-->\n",
    "< [2D Plots](07.04-2D-Plots.ipynb) | [Contents](Index.ipynb) | [Box-Plot](07.06-Box-Plot.ipynb) >"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 7.5 三维图\n",
    "\n",
    "为了绘制三维图，我们需要从`mpl_toolkits.mplot3d`导入`Axes3D`库。散点图或折线图在三维中绘制的方法与二维类似。我们将生成三个变量，绘制三维散点图。图7.8显示三维散点图。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c12db61a20>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "x = np.random.randn(100)\n",
    "y = np.random.randn(100)\n",
    "z = np.random.randn(100)\n",
    "\n",
    "fig = plt.figure()\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "ax.scatter(x, y, z, color='k', marker='s')\n",
    "\n",
    "ax.set_xlabel('x')\n",
    "ax.set_ylabel('y')\n",
    "ax.set_zlabel('z')\n",
    "plt.show()\n",
    "plt.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>图7.8:日期轴</center>"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
